A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery
Two biologically distinct species, Penaeus semisulcatus and P. esculentus, are caught in the tiger prawn component of Australia's Northern Prawn Fishery. These species are recorded and marketed together as ‘tiger prawns’. A generalised linear model is used to separate the logbook catches of ‘ti...
Gespeichert in:
| Veröffentlicht in: | Fisheries research 2004-12, Vol.70 (2), p.409-426 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 426 |
|---|---|
| container_issue | 2 |
| container_start_page | 409 |
| container_title | Fisheries research |
| container_volume | 70 |
| creator | Venables, W.N. Dichmont, C.M. |
| description | Two biologically distinct species,
Penaeus semisulcatus and
P. esculentus, are caught in the tiger prawn component of Australia's Northern Prawn Fishery. These species are recorded and marketed together as ‘tiger prawns’. A generalised linear model is used to separate the logbook catches of ‘tiger prawns’ into catches by individual species, even though only fragmentary historical survey data are available. We also consider generalised additive model and generalised linear mixed model approaches, and the extra benefits they might allow. |
| doi_str_mv | 10.1016/j.fishres.2004.08.017 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_17719041</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165783604001821</els_id><sourcerecordid>17719041</sourcerecordid><originalsourceid>FETCH-LOGICAL-c338t-242aedb9779d1756f53d8cca6d995a6038a4fb1bee7ff268a5f2c07e817bc9573</originalsourceid><addsrcrecordid>eNqFkD1PwzAQhi0EEqXwE5A8wZRg58N2WFCFKCBVwACz5dhn6sqJi50C_fekanemu-F9Xt09CF1SklNC2c0qty4tI6S8IKTKicgJ5UdoQgUvMsZZeYwmY67OuCjZKTpLaUUI4ZzRCdIz_Ak9ROVdAoO960FF3AUDHtsQsVaDXmLlfRg3F_pbrHoMv6pbe8A2hg7PNmnY4eo64ZcQhyXEHr9F9dPj-XgWxO05OrHKJ7g4zCn6mD-83z9li9fH5_vZItNlKYasqAoFpm04bwzlNbN1aYTWipmmqRUjpVCVbWkLwK0tmFC1LTThIChvdVPzcoqu9r3rGL42kAbZuaTBe9VD2CRJOacNqegYrPdBHUNKEaxcR9epuJWUyJ1SuZIHpXKnVBIhR6Ujd7fnYPzi20GUSTvoNRgXQQ_SBPdPwx9ozYPM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17719041</pqid></control><display><type>article</type><title>A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery</title><source>Elsevier ScienceDirect Journals</source><creator>Venables, W.N. ; Dichmont, C.M.</creator><creatorcontrib>Venables, W.N. ; Dichmont, C.M.</creatorcontrib><description>Two biologically distinct species,
Penaeus semisulcatus and
P. esculentus, are caught in the tiger prawn component of Australia's Northern Prawn Fishery. These species are recorded and marketed together as ‘tiger prawns’. A generalised linear model is used to separate the logbook catches of ‘tiger prawns’ into catches by individual species, even though only fragmentary historical survey data are available. We also consider generalised additive model and generalised linear mixed model approaches, and the extra benefits they might allow.</description><identifier>ISSN: 0165-7836</identifier><identifier>EISSN: 1872-6763</identifier><identifier>DOI: 10.1016/j.fishres.2004.08.017</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Generalised additive model ; Generalised linear mixed model ; Generalised linear model ; Marine ; Penaeus esculentus ; Penaeus semisulcatus ; Quasi-likelihood ; Species separation ; Spline regression model</subject><ispartof>Fisheries research, 2004-12, Vol.70 (2), p.409-426</ispartof><rights>2004 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-242aedb9779d1756f53d8cca6d995a6038a4fb1bee7ff268a5f2c07e817bc9573</citedby><cites>FETCH-LOGICAL-c338t-242aedb9779d1756f53d8cca6d995a6038a4fb1bee7ff268a5f2c07e817bc9573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165783604001821$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Venables, W.N.</creatorcontrib><creatorcontrib>Dichmont, C.M.</creatorcontrib><title>A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery</title><title>Fisheries research</title><description>Two biologically distinct species,
Penaeus semisulcatus and
P. esculentus, are caught in the tiger prawn component of Australia's Northern Prawn Fishery. These species are recorded and marketed together as ‘tiger prawns’. A generalised linear model is used to separate the logbook catches of ‘tiger prawns’ into catches by individual species, even though only fragmentary historical survey data are available. We also consider generalised additive model and generalised linear mixed model approaches, and the extra benefits they might allow.</description><subject>Generalised additive model</subject><subject>Generalised linear mixed model</subject><subject>Generalised linear model</subject><subject>Marine</subject><subject>Penaeus esculentus</subject><subject>Penaeus semisulcatus</subject><subject>Quasi-likelihood</subject><subject>Species separation</subject><subject>Spline regression model</subject><issn>0165-7836</issn><issn>1872-6763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EEqXwE5A8wZRg58N2WFCFKCBVwACz5dhn6sqJi50C_fekanemu-F9Xt09CF1SklNC2c0qty4tI6S8IKTKicgJ5UdoQgUvMsZZeYwmY67OuCjZKTpLaUUI4ZzRCdIz_Ak9ROVdAoO960FF3AUDHtsQsVaDXmLlfRg3F_pbrHoMv6pbe8A2hg7PNmnY4eo64ZcQhyXEHr9F9dPj-XgWxO05OrHKJ7g4zCn6mD-83z9li9fH5_vZItNlKYasqAoFpm04bwzlNbN1aYTWipmmqRUjpVCVbWkLwK0tmFC1LTThIChvdVPzcoqu9r3rGL42kAbZuaTBe9VD2CRJOacNqegYrPdBHUNKEaxcR9epuJWUyJ1SuZIHpXKnVBIhR6Ujd7fnYPzi20GUSTvoNRgXQQ_SBPdPwx9ozYPM</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>Venables, W.N.</creator><creator>Dichmont, C.M.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>20041201</creationdate><title>A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery</title><author>Venables, W.N. ; Dichmont, C.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-242aedb9779d1756f53d8cca6d995a6038a4fb1bee7ff268a5f2c07e817bc9573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Generalised additive model</topic><topic>Generalised linear mixed model</topic><topic>Generalised linear model</topic><topic>Marine</topic><topic>Penaeus esculentus</topic><topic>Penaeus semisulcatus</topic><topic>Quasi-likelihood</topic><topic>Species separation</topic><topic>Spline regression model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Venables, W.N.</creatorcontrib><creatorcontrib>Dichmont, C.M.</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Fisheries research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Venables, W.N.</au><au>Dichmont, C.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery</atitle><jtitle>Fisheries research</jtitle><date>2004-12-01</date><risdate>2004</risdate><volume>70</volume><issue>2</issue><spage>409</spage><epage>426</epage><pages>409-426</pages><issn>0165-7836</issn><eissn>1872-6763</eissn><abstract>Two biologically distinct species,
Penaeus semisulcatus and
P. esculentus, are caught in the tiger prawn component of Australia's Northern Prawn Fishery. These species are recorded and marketed together as ‘tiger prawns’. A generalised linear model is used to separate the logbook catches of ‘tiger prawns’ into catches by individual species, even though only fragmentary historical survey data are available. We also consider generalised additive model and generalised linear mixed model approaches, and the extra benefits they might allow.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.fishres.2004.08.017</doi><tpages>18</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0165-7836 |
| ispartof | Fisheries research, 2004-12, Vol.70 (2), p.409-426 |
| issn | 0165-7836 1872-6763 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_17719041 |
| source | Elsevier ScienceDirect Journals |
| subjects | Generalised additive model Generalised linear mixed model Generalised linear model Marine Penaeus esculentus Penaeus semisulcatus Quasi-likelihood Species separation Spline regression model |
| title | A generalised linear model for catch allocation: an example from Australia's Northern Prawn Fishery |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T20%3A58%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20generalised%20linear%20model%20for%20catch%20allocation:%20an%20example%20from%20Australia's%20Northern%20Prawn%20Fishery&rft.jtitle=Fisheries%20research&rft.au=Venables,%20W.N.&rft.date=2004-12-01&rft.volume=70&rft.issue=2&rft.spage=409&rft.epage=426&rft.pages=409-426&rft.issn=0165-7836&rft.eissn=1872-6763&rft_id=info:doi/10.1016/j.fishres.2004.08.017&rft_dat=%3Cproquest_cross%3E17719041%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=17719041&rft_id=info:pmid/&rft_els_id=S0165783604001821&rfr_iscdi=true |